PY DATA, INC.

PY DATA, INC.

Sr. Data Engineer

Bellevue, Washington, USA · Senior · Contract

Sponsorship not specifiedDetected 126 days ago
TypeScriptPythonJavaSQLAWSData EngineeringData ScienceCompliance

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odds of building a lasting career here

37Risky
Cap-exempt (no lottery)0
Sponsors this role80
Entry-level history0
PERM / green-card track0
Lottery odds40
Fits your clock70

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Employer immigration record

from this employer's Department of Labor filings

Green-card filing pattern in this occupation

Context, not a finding about this posting: of this employer's 4 green-card filings in this occupation, 75% were for a worker who already held the job.

Sourced from Department of Labor LCA, PERM and prevailing-wage disclosure data. Employer matching is by name, so figures may be split across an employer's legal entities. Absence of a filing means none appears in our copy of the data, not that none exists.

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About the role

  • Data Engineer III Onsite - Bellevue, WA 15 months Contract to Hire (CTH) Required Qualifications Education: A Bachelor's degree in Computer Science, Engineering, Data Science, or a related field is required. Experience: 3+ years of data engineering experience, including data modeling, pipeline development, and data warehouse design, along with 3+ years of
  • non-internship professional software development experience building production services. Technical Skills: Proficiency in Python, Java, or TypeScript; strong SQL skills; and experience with AWS services such as Lambda, API Gateway, Step Functions, and DynamoDB. Preferred Qualifications Experience building event-driven architectures using Step Functions,

Responsibilities

  • 3+ years of data engineering experience, including data modeling, pipeline development, and data warehouse design, along with 3+ years of non-internship professional software development experience building production services.

Requirements

  • A Bachelor's degree in Computer Science, Engineering, Data Science, or a related field is required.

Skills

  • Experience with serverless development patterns on AWS.
  • Experience with infrastructure as code (CDK, CloudFormation).
  • Familiarity with regulatory compliance or telecommunications domains.
  • AWS certification.

This listing is sourced directly from PY DATA, INC.'s careers page and normalized into a canonical job model.